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Diffstat (limited to 'runtimes/nn/common/operations/DepthwiseConv2D.cpp')
| -rw-r--r-- | runtimes/nn/common/operations/DepthwiseConv2D.cpp | 119 |
1 files changed, 119 insertions, 0 deletions
diff --git a/runtimes/nn/common/operations/DepthwiseConv2D.cpp b/runtimes/nn/common/operations/DepthwiseConv2D.cpp new file mode 100644 index 000000000..94a78f942 --- /dev/null +++ b/runtimes/nn/common/operations/DepthwiseConv2D.cpp @@ -0,0 +1,119 @@ +/* + * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved + * Copyright (C) 2017 The Android Open Source Project + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "Operations.h" +#include "OperationsUtils.h" + +#include "internal/optimized/depthwiseconv_float.h" +#if 0 // REF-ANN We don't support depthwiseConvQuant8 yet +#include "internal/optimized/depthwiseconv_uint8.h" +#endif + +namespace nnfw { +namespace rt { + +#define ANDROID_NN_DEPTHWISE_CONV_PARAMETERS \ + uint32_t height = getSizeOfDimension(inputShape, 1); \ + uint32_t width = getSizeOfDimension(inputShape, 2); \ + uint32_t filterHeight = getSizeOfDimension(filterShape, 1); \ + uint32_t filterWidth = getSizeOfDimension(filterShape, 2); \ + uint32_t outHeight = getSizeOfDimension(outputShape, 1); \ + uint32_t outWidth = getSizeOfDimension(outputShape, 2); \ + \ + uint32_t paddingHeight = (uint32_t)padding_top; \ + uint32_t paddingWidth = (uint32_t)padding_left; + +bool depthwiseConvFloat32(const float* inputData, const Shape& inputShape, + const float* filterData, const Shape& filterShape, + const float* biasData, const Shape& biasShape, + int32_t padding_left, int32_t padding_right, + int32_t padding_top, int32_t padding_bottom, + int32_t stride_width, int32_t stride_height, + int32_t depth_multiplier, int32_t activation, + float* outputData, const Shape& outputShape) { + + ANDROID_NN_DEPTHWISE_CONV_PARAMETERS + + #define ANDROID_NN_DEPTHWISE_CONV(activation) \ + optimized_ops::DepthwiseConv<FusedActivationFunctionType::activation>( \ + inputData, convertShapeToDims(inputShape), \ + filterData, convertShapeToDims(filterShape), \ + biasData, convertShapeToDims(biasShape), \ + stride_width, stride_height, \ + paddingWidth, paddingHeight, depth_multiplier, \ + outputData, convertShapeToDims(outputShape)) + + ANDROID_NN_MACRO_DISPATCH(ANDROID_NN_DEPTHWISE_CONV) + #undef ANDROID_NN_DEPTHWISE_CONV + + return true; +} + + +#if 0 // REF-ANN We don't support depthwiseConvQuant8 yet +bool depthwiseConvQuant8(const uint8_t* inputData, const Shape& inputShape, + const uint8_t* filterData, const Shape& filterShape, + const int32_t* biasData, const Shape& biasShape, + int32_t padding_left, int32_t padding_right, + int32_t padding_top, int32_t padding_bottom, + int32_t stride_width, int32_t stride_height, + int32_t depth_multiplier, int32_t activation, + uint8_t* outputData, const Shape& outputShape) { + + ANDROID_NN_DEPTHWISE_CONV_PARAMETERS + + float real_multiplier = 0.0; + int32_t output_multiplier = 0; + int32_t output_shift = 0; + int32_t output_activation_min = 0; + int32_t output_activation_max = 0; + + + if (!GetQuantizedConvolutionMultipler(inputShape, filterShape, biasShape, + outputShape, &real_multiplier) || + !QuantizeMultiplierSmallerThanOne(real_multiplier, &output_multiplier, + &output_shift)) { + return false; + } + CalculateActivationRangeUint8(activation, outputShape, + &output_activation_min, + &output_activation_max); + + uint32_t inputOffset = -inputShape.offset; + uint32_t filterOffset = -filterShape.offset; + uint32_t outputOffset = outputShape.offset; + #define ANDROID_NN_DEPTHWISE_CONV(activation) \ + optimized_ops::DepthwiseConv<FusedActivationFunctionType::activation>( \ + inputData, convertShapeToDims(inputShape), inputOffset, \ + filterData, convertShapeToDims(filterShape), filterOffset, \ + biasData, convertShapeToDims(biasShape), \ + stride_width, stride_height, \ + paddingWidth, paddingHeight, depth_multiplier, \ + outputOffset, output_multiplier, output_shift, \ + output_activation_min, output_activation_max, \ + outputData, convertShapeToDims(outputShape)) + + ANDROID_NN_MACRO_DISPATCH(ANDROID_NN_DEPTHWISE_CONV) + #undef ANDROID_NN_DEPTHWISE_CONV + + return true; +} +#endif // REF-ANN + +#undef ANDROID_NN_DEPTHWISE_CONV_PARAMETERS +} // namespace rt +} // namespace nnfw |